Measuring Bulk Flow of Galaxy Clusters using Kinematic Sunyaev-Zel'dovich effect: Prediction for Planck
D.S.Y. Mak, E. Pierpaoli, S.J. Osborne

TL;DR
This study predicts how well the Planck satellite can measure galaxy cluster bulk flows using the kinetic Sunyaev-Zel'dovich effect, showing improved accuracy with upcoming cluster catalogs and optimized filtering techniques.
Contribution
It introduces a semi-analytical simulation approach and compares filters, demonstrating enhanced bulk flow measurement accuracy with future cluster data from Planck and eRosita.
Findings
Planck data combined with ROSAT clusters improves bulk flow limits.
Bulk velocity errors decrease with deeper cluster samples.
Unbiased filter reduces systematic bias and improves dipole detection.
Abstract
We predict the performance of the Planck satellite in determining the bulk flow through kinetic Sunyaev-Zeldovich (kSZ) measurements. As velocity tracers, we use ROSAT All-Sky Survey (RASS) clusters as well as expected cluster catalogs from the upcoming missions Planck and eRosita (All-Sky Survey: EASS). We implement a semi-analytical approach to simulate realistic Planck maps as well as Planck and eRosita cluster catalogs. We adopt an unbiased kinetic SZ filter (UF) and matched filter (MF) to maximize the cluster kSZ signal to noise ratio. We find that the use of Planck CMB maps in conjunction with the currently existing ROSAT cluster sample improves current upper limits on the bulk flow determination by a factor \sim 5 (\sim 10) when using the MF (UF). The accuracy of bulk flow measurement increases with the depth and abundance of the cluster sample: for an input bulk velocity of 500…
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